Software Engineer, Mid-training

X.ai; Palo Alto (CA); Vor Ort; USD 180.000 - 440.000; Vollzeit

Benefits dieser Stelle

Equity

Medical, Vision, Dental coverage

401(k) retirement plan

Disability Insurance

Zusammenfassung

SpaceXSI is building the Super Intelligence stack and seeks a senior ML/data systems engineer to scale models and data pipelines. You will generate synthetic data, run mid-training experiments, and optimize data mixtures to advance RL capabilities.

Based in California, SpaceXSI offers a competitive USD salary with equity and a comprehensive benefits package including medical, vision, dental, and a 401(k).

Qualifikationen

• Experience with ML and large model scaling.
• Experience with Spark, Ray, and other large-scale data processing frameworks.

Aufgaben

• Scale synthetic coding data to trillions of tokens with large-scale docker verification
• Distill the intelligence of flagship models into flash models through synthetic data generation
• Optimize mid-training data mixtures to boost the ceiling for RL
• Engineer long-context data recipes
• Develop robust and diverse evaluation for mid-training checkpoints

Kenntnisse

ML scaling

Large-scale ML experiments

Scaling laws

Training data curation (multimodal)

Large-scale data processing

Tools

Spark

Ray

Jobbeschreibung

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars.

SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.

RESPONSIBILITIES:

• Scale synthetic coding data to trillions of tokens with large-scale docker verification
• Distill the intelligence of flagship models into flash models through synthetic data generation
• Optimize mid-training data mixtures to boost the ceiling for RL
• Engineer long-context data recipes
• Develop robust and diverse evaluation for mid-training checkpoints

BASIC QUALIFICATIONS:

• Experience with ML and large model scaling
• Experience with Spark, Ray, and other large-scale data processing frameworks

PREFERRED SKILLS AND EXPERIENCE:

• Familiarity across all kinds of scaling laws
• Strong ability to design ML experiments
• Familiarity with state-of-the-art techniques for curating AI training data for text, image, audio, and video modalities
• Strong engineering abilities in large-scale data processing frameworks

COMPENSATION AND BENEFITS:

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.